Assistant Professor in Knowledge-informed Learning

VU University of Amsterdam Department of Computer Science


We seek a new colleague who will contribute to our research on knowledge-informed learning in the Knowledge Representation and Reasoning group of our Computer Science department. You will teach courses in our Computer Science, Artificial Intelligence and Information Sciences education programs. Your research will be in close collaboration with our colleagues in the other AI research groups on social AI, on computational intelligence and on machine learning. Please apply as Assistant Professor in the department of Computer Science at Vrije Universiteit Amsterdam (VU).


FTE:         0.8 - 1

Job description

We are aiming to exploit the structure and content of symbolic representations to improve the machine learning process. We expect the combination of symbolic knowledge, already available at large scale in many domains, with the latest generation of machine learning techniques to contribute to more sample-efficient learning, better out-of-sample generalisation, reusable compositional models, learning under safety constraints and increased explainability. We are, among others, interested in approaches such as learning under symbolic constraints, learning using knowledge-based abstractions, learning on knowledge graphs, or knowledge-based explainable learning. Possible application domains that would benefit from this work are multi-modal human-AI interaction, medical AI and autonomous AI. 

Your duties

The position includes research, education and management (40%:40%:20%) and contains among others the following responsibilities:

  • performing research on knowledge-informed learning
  • supervising PhD students
  • teaching in the Bachelor and Master programmes of the Department of Computer Science
  • supervising MSc/BSc student research projects in the Department
  • contributing to and write research grant proposals
  • contributing to administrative tasks


  • a PhD degree in AI or closely related area plus some years experience in post-doctoral research
  • a track record of published work on the boundary of data-driven and knowledge-driven AI
  • academic teaching experience including the supervision of MSc and PhD students
  • experience in collaborative research and an interdisciplinary mindset

What are we offering?

A challenging position in a socially involved organization. On full-time basis the remuneration amounts to a minimum gross monthly salary of €3,746 (scale 11) and a maximum €5,127 (scale 11), depending on your education and experience. The job profile: is based on the university job ranking system and is vacant for at least 0.8 FTE.

This is a tenure track position; the initial appointment will be for a period of five years. Based on performance indicators agreed at the start of the appointment, a tenure track position will lead to a tenured position of assistant professor 1 (scale 12)  in a period of maximally 5 years. In the fifth year of the appointment the tenure decision will be taken and a midterm review will take place in 2,5 years’ time after the starting date.

Do not hesitate to contact us if you want to discuss whether your qualifications are satisfactory for applying to the position. We encourage women to apply for this position.

Additionally, Vrije Universiteit Amsterdam offers excellent fringe benefits and various schemes and regulations to promote a good work/life balance, such as:

  • a maximum of 41 days of annual leave based on full-time employment
  • 8% holiday allowance and 8.3% end-of-year bonus
  • solid pension scheme (ABP)
  • contribution to commuting expenses
  • optional model for designing a personalized benefits package

About Vrije Universiteit Amsterdam

The ambition of Vrije Universiteit Amsterdam is clear: to contribute to a better world through outstanding education and ground-breaking research. We strive to be a university where personal development and commitment to society play a leading role. A university where people from different disciplines and backgrounds collaborate to achieve innovations and to generate new knowledge. Our teaching and research encompass the entire spectrum of academic endeavor – from the humanities, the social sciences and the natural sciences through to the life sciences and the medical sciences.

Vrije Universiteit Amsterdam is home to more than 26,000 students. We employ over 4,600 individuals. The VU campus is easily accessible and located in the heart of Amsterdam’s Zuidas district, a truly inspiring environment for teaching and research.


We are an inclusive university community. Diversity is one of our most important values. We believe that engaging in international activities and welcoming students and staff from a wide variety of backgrounds enhances the quality of our education and research. We are always looking for people who can enrich our world with their own unique perspectives and experiences.

The Faculty of Science

The Faculty of Science inspires researchers and students to find sustainable solutions for complex societal issues. From forest fires to big data, from obesity to medicines and from molecules to the moon: our teaching and research programmes cover the full spectrum of the natural sciences. We share knowledge and experience with leading research institutes and industries, both here in the Netherlands and abroad.

Working at the Faculty of Science means working with students, PhD candidates and researchers, all with a clear focus on their field and a broad view of the world. We employ more than 1,250 staff members, and we are home to around 6,000 students.

About the AI section

The AI section belongs to the department of Computer Science. Much of the AI research with the department is embedded in the Network Institute of Vrije Universiteit, covering disciplines such as Social sciences, Humanities, and Economics. The Department also actively participates in Amsterdam Data Science, a collaboration between more than 600 data science researchers from different institutions in Amsterdam.
The department explicitly encourages inter- and cross disciplinary research, and expects successful candidates to collaborate with colleagues in other fields of Computer Science, as well as with colleagues from other disciplines such as those participating in the Network Institute and in Amsterdam Data Science.


Are you interested in this position? Please apply via the application button and upload your curriculum vitae and cover letter until 15 June 2021. 

Applications received by e-mail will not be processed.

Vacancy questions

If you have any questions regarding this vacancy, you may contact:

Name: Frank van Harmelen
Position: Full Professor
Telephone: +31 (20) 59 87731

Relocation support

If you have any questions regarding moving to Amsterdam, and working at VU Amsterdam, you may contact:
Name: Sara Veldhorst
Position: Relocation Advisor
Telephone:  +31 (20) 59 86212

No agencies

In your application, please refer to